1 / 13

Research Data Centre DLI Workshop (December, 2001) University of Alberta

Learn about Research Data Centres (RDCs), secure environments in university settings staffed by Statistics Canada employees, that provide access to confidential microdata files for academic research. Discover the benefits, application process, and evaluation criteria for accessing detailed microdata.

dariol
Download Presentation

Research Data Centre DLI Workshop (December, 2001) University of Alberta

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Research Data Centre DLI Workshop (December, 2001) University of Alberta

  2. What is a Research Data Centre? • SSHRC and Statistics Canada joint initiative • Houses Statistics Canada microdata files • Secure Statistics Canada environment in a university setting • Staffed by a Statistics Canada employee at all times • Operates under the provisions of the Statistics Act

  3. DLI : Extensive data range in terms of subjects covered. PUMF - no restriction on research projects. Variable detail maybe suppressed (geographic and classification). RDC: Household and population confidential longitudinal data files. Peer review both the proposal and the final paper. Researcher becomes “deemed employee” of Statistic Canada. Access suppressed variable details (output restriction). Major distinctions

  4. Year 2001: National Longitudinal Survey of Children and Youth (NLSCY) Survey of Labour and Income Dynamics (SLID) National Population Health Survey (NPHS) Year 2002: Workplace and employment survey - employee questionnaire (WES) Youth in Transition Survey (YITS) Canadian Community Health Survey (CCHS) Initial Data Holding

  5. RDCs locations across Canada University of Alberta University of Calgary University of British Columbia Université de Montréal Dalhousie UNB University of Toronto McMaster University Waterloo University

  6. When to refer researcher to RDC? • Access suppressed data: • Remote access (Subject Matter Division) • Dummy data for creating model syntax. • Special tabulation (Advisory Service) • Direct access social and household confidential data (Head Office, Regional Offices, RDCs) • Is there a need to access RDC? • Advise on alternative public use data. • Consult experts in campus and Statistics Canada.

  7. What can DLI do to help making the decision? • Provide documentation on the data set. • Provide data dictionary (information on suppressed variables in PUMF). • Contact RDC analysts.

  8. RDC application process • All researchers are welcome. • Research proposal submit to SSHRC web site. http://www.sshrc.ca/rdc/english/applicants.html • Evaluation will be done within 60 days. • Enhance security clearances with STC. • Agreed to become “deemed employee” of STC - Oath and research contract.

  9. Application proposal Project Title Name and affiliation of principal investigator and co-investigators Project Objectives Data Requirements (including justification for microdata) Critical dates Sources of funding RDC in which research is to be conducted CVs for the team

  10. Researchers should beware… • Deal with time constraint when accessing the RDC - especially for researchers from outside the hosting universities campus. • Coordinate the necessary experts in the project team. • Need for data linkage (on high-level identifier such as geographic code). • The approved proposal do not give access to ALL RDC data files.

  11. Evaluation Criteria • Necessity for access to detailed microdata and to the particular dataset(s) specified in proposal. • Clearly defined project objectives. • Suitability of analytical and statistical methods. • Scientific merit of the project. • Whether applicant and the team have the experience, qualifications, and expertise to successfully complete the proposed project.

  12. Contact?

  13. RDCs web sites • UBC http://data.library.ubc.ca/rdc • U of Alberta http://datalib.library.ualberta.ca/rdc • U of Calgary http://www.ucalgary.ca/rdc • U of Toronto http://www.utoronto.ca/rdc • U of McMaster http://www.socsci.mcmaster.ca/rdc • UNB http://www.unb.ca/rdc • U of Montreal http://www.umontreal.ca

More Related